Grounded knowledge
Use approved content for answers and plans while preserving inspectable citations.
ENTERPRISE AGENTS
Let agents complete real work inside knowledge, tool, and approval boundaries.
Not another chat surface: a governed, traceable, and reversible AI execution layer.Inspect the agent mechanismBUILT FORKnowledge-intensive operations and internal support
GROUNDPLANAPPROVEEXECUTE
THE PROBLEM
AI without grounding, authority, and process control cannot enter high-accountability work.
Teams need more than answers: they need execution that can understand requests, call tools, seek approval, and leave a record.
- 01Repetitive tasks consume substantial operating time
- 02Knowledge is fragmented across documents, messages, and systems
- 03Internal requests lack reliable routing and handling standards
- 04Generic chat experiences cannot safely operate enterprise tools
HOW IT WORKS
Every execution starts with evidence and authority.
Select a stage to inspect how the agent plans, requests permission, and completes work.AGENT / EXECUTION PLANGOVERNED
Approved knowledgeREADY
Task planningPENDING
Human approvalPENDING
Tool executionPENDING
EXECUTION POLICYExplicit approval is required before writing to the budget systemKnowledge citations, tool parameters, and receipts are written to the audit log
CAPABILITIES
Place autonomy inside explicit governance.
Tools and systems
Call internal tools, data sources, and business systems according to role.
Human-agent collaboration
Require approval for high-impact actions and support rejection, revision, and rollback.
DELIVERY
Start with one high-value task with clear boundaries.
Define knowledge, tools, and ownership first, then expand the agent's execution scope.- 01Scope assessment
- 02Knowledge mapping
- 03Behavior design
- 04Process integration
ENGAGEMENTCustom assessment
Scope depends on workflow complexity, knowledge sources, tool count, and deployment environment.
ENTERPRISE AGENTS